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AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite.


s: 

	Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200

	OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080

b: 

	Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200

	OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080

c: 

	Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200

	OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080


TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
s . 6.55 |=====================================================================
b . 6.49 |====================================================================
c . 6.47 |====================================================================


Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
s . 6085667 |==================================================================
b . 6090000 |==================================================================
c . 6071000 |==================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
s . 6.66 |=====================================================================
b . 6.64 |=====================================================================
c . 6.63 |=====================================================================


Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
s . 11386667 |=================================================================
b . 11390000 |=================================================================
c . 11370000 |=================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
s . 4.35 |=====================================================================
b . 4.28 |====================================================================
c . 4.28 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
s . 6.67 |=====================================================================
b . 6.68 |=====================================================================
c . 6.68 |=====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
s . 18.08 |==================================================================
b . 18.61 |====================================================================
c . 17.68 |=================================================================


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
s . 7.34 |===================================================================
b . 7.57 |=====================================================================
c . 7.48 |====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
s . 9.88  |==================================================================
b . 10.13 |====================================================================
c . 10.05 |===================================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
s . 9.93  |=================================================================
b . 10.38 |====================================================================
c . 10.10 |==================================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
s . 10.00 |===================================================================
b . 10.10 |====================================================================
c . 10.05 |====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
s . 4.24 |===================================================================
b . 4.35 |=====================================================================
c . 4.27 |====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
s . 4.24 |====================================================================
b . 4.28 |=====================================================================
c . 4.22 |====================================================================


Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
s . 5801667 |==================================================================
b . 5815000 |==================================================================
c . 5770000 |=================================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
s . 4.21 |===================================================================
b . 4.34 |=====================================================================
c . 4.33 |=====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.88 |====================================================================
b . 4.95 |=====================================================================
c . 4.92 |=====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 2.96 |====================================================================
b . 3.00 |=====================================================================
c . 3.00 |=====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 2.98 |====================================================================
b . 2.97 |====================================================================
c . 3.01 |=====================================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 3.01 |====================================================================
b . 2.97 |===================================================================
c . 3.04 |=====================================================================